0
Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.

°íµîÇлýÀÇ °Ç°­ ºÒ±Õµî ¿äÀκ° ºÐÇØ

Decomposition of Health Inequality in High School Students

Çѱ¹Çб³º¸°ÇÇÐȸÁö 2007³â 20±Ç 1È£ p.63 ~ 75
KMID : 0608420070200010063
¾Èº´Ã¶ ( Ahn Byung-Chul ) - ¿µ³²´ëÇб³ °æÁ¦±ÝÀ¶ÇкÎ

Á¤È¿Áö ( Joung Hyo-Jee ) - ¼­¿ï´ëÇб³ º¸°Ç´ëÇпø

Abstract

Purpose: With economic development and prolonged longevity, the level of health and health disparities have became growing concerns for individual and society as well. Since youth¡¯s health status are influenced by households¡¯ socioeconomic status and associated with heath status in later stage of life, assessing health inequality in the youth is a significant step toward lessening health disparity and promoting health. We measured health inequality in high school students and decomposed it into health factors.

Methods: The subjects included 3,787 high school students of 12th graders from the Korea Education and Employment Panel (KEEP) in 2004. True health status was assumed as a latent variable and estimated by ordered logistic regression model. The predicted health was used as a measure of individual health after rescaling to [0,1] interval. Total health inequality was then measured by Gini coefficient and was decomposed into health factors.

Results: Health inequality in high school students was observed. Of total health inequality, 44% was explained by biological factors such as body mass index (BMI) (32.5%) and gender (13.5%). Behavioral factors such as smoking, drinking, physical activity, hours in bed and hours of computer usage added to 11.7%. Household income and work experiences explained 5.6% and 8.8%, respectively. School satisfaction explained 14.6%. Other school related factors such as self-assessed achievement and experience of being bullied accounted for 15.5%.

Conclusion: Among the health factors, biological factor was the most important contributor in health disparity. Other factors such as health behaviors, socioeconomic factors, school satisfaction and school related factors exhibited somewhat similar magnitude. For policy purposes, it is recommended to look into modifiable factors depending BMI, gender and school surroundings.
KeyWords

health inequality, Gini coefficient, concentration index, high school student
¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
µîÀçÀú³Î Á¤º¸
ÇмúÁøÈïÀç´Ü(KCI)